Observation of NLIW in the South China Sea using PIES

Abstract

Long-term goals are to study the mechanisms of generation, evolution and propagation of high frequency nonlinear internal waves [NLIW] in the vicinity and west of Luzon Strait in the South China Sea, making use of pressure equipped inverted echo sounders. Our objectives are (1) to observe the internal tide propagating west of Luzon Strait and its progressive evolution in shape and speed as it traverses the South China Sea under the influence of nonlinearity, non-hydrostatic effects, rotation, topography, currents and stratification, and (2) to interpret the results with the help of models that incorporate these effects. Our approach involved deployment of three modified pressure equipped inverted echo-sounders [PIES], set up to transmit every 6s (see Fig.1). These instruments measure the return acoustic travel time from sea-floor to surface, which is modified by variations in the local stratification resulting from passage of internal waves. Knowledge of the background stratification is provided by CTD casts. Time series measurements of the acoustic travel time then provide a basis for inferring the first mode internal response. The observations are analyzed with 2-layer models: a weakly nonlinear and also a fully nonlinear model of the wave evolution process, a model of the wave generation mechanism and a coupled model in which the wave generation is coupled to the fully nonlinear evolution model.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2010
Accession Number
ADA542693

Entities

People

  • David M. Farmer

Organizations

  • University of Rhode Island

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Demographic Cohorts
  • Dispersions
  • Doppler Effect
  • Electrical Solitons
  • Frequency
  • Internal Waves
  • Landforms
  • Layers
  • Measurement
  • Nonlinear Dynamics
  • Observation
  • Oceanography
  • Oceans
  • Sonar
  • South China Sea
  • Travel Time
  • Waves

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Oceanography.
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference